No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by last9 · Agent Tool · ★ 88
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-sre-agents safe to install? View the security audit →
awesome-sre-agents A curated list of AI-powered DevOps & SRE (Site Reliability Engineering) agents, tools, and resources for automating and enhancing reliability practices Contents Agent Benchmarks Incident Response Agents Platforms of Agents SRE Agents Agent Benchmarks SRE Bench Not Human Search Incident Response Agents Beeps incident.io Kura Wild Moose Platforms of Agents Control Flow (Open Source) Obot (Open Source) RunWhen SRE Agents KubeStellar Console (Open Source) Komodor Klaudia AI Agent SRE Cleric Holmes GPT k8s-GPT (Open Source) Nudge Bee Parity SRE.ai Resolve AI Sherlocks.ai IncidentFox (Open Source) Open SRE Agent (Open Source) [Metor
| Stars | 88 |
| Forks | 36 |
| Category | Agent Tool |
| License | CC0-1.0 |
| Quality Score | 54.5308580135315/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-15 |
| Created | 2025-01-04 |
| Est. Tokens | ~5k |
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awesome-sre-agents is A curated list of AI-powered DevOps & SRE (Site Reliability Engineering) agents, tools, and resources for automating and enhancing reliability practices. It is categorized as a Agent Tool with 88 GitHub stars.
You can find installation instructions and usage details in the awesome-sre-agents GitHub repository at github.com/last9/awesome-sre-agents. The project has 88 stars and 36 forks, indicating an active community.
awesome-sre-agents is released under the CC0-1.0 license, making it free to use and modify according to the license terms.
The top alternatives to awesome-sre-agents on Agent Skills Hub include Awesome-AI-For-Security, awesome-mcp-servers-devops, clanker. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: